class_docstr: Write me
      
code: def save_weights(self, filepath, overwrite=False):
      self.model.save_weights(filepath, overwrite=overwrite)
  
imports: import collections
  import numpy
  from keras.callbacks import History
  from keras.models import Model
  from keras.layers import Input, Lambda
  import keras.backend
  from rl.core import Agent
  from rl.agents.dqn import mean_q
  from rl.util import huber_loss
  from rl.policy import EpsGreedyQPolicy, GreedyQPolicy
  from rl.util import get_object_config
label_desc: Use image node_id 8 for calling the SARSAAgent obj's underlying member method code with example usage: obj.save_weights(filepath, overwrite) without return types